Yanda Meng | DeepAI

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∙ 04/27/2023

Automatically Segment the Left Atrium and Scars from LGE-MRIs Using a Boundary-focused nnU-Net

Atrial fibrillation (AF) is the most common cardiac arrhythmia. Accurate...

0 Yuchen Zhang, et al. ∙

∙ 04/07/2023

Weakly supervised segmentation with point annotations for histopathology images via contrast-based variational model

Image segmentation is a fundamental task in the field of imaging and vis...

0 Hongrun Zhang, et al. ∙

∙ 03/22/2022

DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification

Multiple instance learning (MIL) has been increasingly used in the class...

0 Hongrun Zhang, et al. ∙

∙ 03/09/2022

3D Dense Face Alignment with Fused Features by Aggregating CNNs and GCNs

In this paper, we propose a novel multi-level aggregation network to reg...

0 Yanda Meng, et al. ∙

∙ 03/08/2022

Counting with Adaptive Auxiliary Learning

This paper proposes an adaptive auxiliary task learning based approach f...

8 Yanda Meng, et al. ∙

∙ 10/27/2021

BI-GCN: Boundary-Aware Input-Dependent Graph Convolution Network for Biomedical Image Segmentation

Segmentation is an essential operation of image processing. The convolut...

8 Yanda Meng, et al. ∙

∙ 07/28/2021

Spatial Uncertainty-Aware Semi-Supervised Crowd Counting

Semi-supervised approaches for crowd counting attract attention, as the ...

0 Yanda Meng, et al. ∙

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